Developer Reference

Contents

Why Vector Type Generators?

Vector type library subroutines often perform much more efficiently than scalar type routines. The overhead expenses of scalar type routines are often comparable with the total time required for vector type computations, especially for highly optimized RNGs. To reduce overhead expenses, all VS RNG subroutines are of vector type.
Although vector type RNGs may require more careful programming, their use results in a substantial speedup in the overall application performance. VS provides a number of services to make vector programming as easy as possible. For further discussion, see the
Independent Streams. Leapfrogging and Block-Splitting
section of this document.
Vector type interface is useful for Monte Carlo methods because Monte Carlo requires a lot of random numbers rather than just one. You can call a vector RNG subroutine to generate a single random number as well, but such use is much less efficient.

Product and Performance Information

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Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804